Machine LearningLesson 8Free preview

ML Perceptrons

This lesson is part of A.I. · All levels

Summary

The Perceptron is the simplest model of machine learning, equivalent to one artificial neuron. It receives some input, multiplies it by weight, sums it up with bias, and then decides the output through the activation function. Simple as it is, the perceptron is the foundation for a larger neural network.

Key points

The perceptron consists of input, weight, bias, and activation functions.
The classical perceptron output is only 0 or 1 (step function).
A single perceptron can only separate a class that is linearly separable.
The Perceptron is the building blocks of modern deep learning.

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